Course context for academic year 2015-16

Discrete Mathematics is a basic course that provides students with the basic knowledge, both theoretical and empirical, to understand, analyse and solve discrete mathematical problems arising in their university and professional future.

There are many topics that can be classified within the field of Discrete Mathematics. For example, topics related to set theory, basic logic, proof techniques, the basics of counting, integer modular arithmetic, graphs, trees or discrete probability. Some of these topics can also be included within other disciplines or subjects. For example, concepts related to set theory can be part of Algebra, basic logic and proof techniques form part of Logic considered as a discipline, and discrete probability may be considered a discipline by itself. This has led us to consider in this subject concepts related to Graphs and Integer Modular Arithmetic.

Course content (verified by ANECA in official undergraduate and Master’s degrees)

Create the habit of raising questions. Form the habit of formulating questions to develop problem-solving skills: Is there a solution to the problem? How many? What is the relationship among them? What would happen if certain aspects of the problem were changed?

Understand that although the content of the subject is mathematical, Discrete Mathematics has many applications in computer science. Hence it is important to motivate the subject with concrete problems and applications.

Academic year:

General

Departments involved

Dept:
SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE Area:
SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE Theoretical credits: 1,2Practical credits: 1,2
This Dept. is responsible for the course.
This Dept. is responsible for the final mark record.